Data Engineer Lead for Azure Solutions
2 days ago
Lead Data Engineer Role Overview
We are seeking a highly skilled and experienced Data Engineer Lead to join our team in Singapore & Australia. As a key member of our consulting unit, you will be responsible for leading the design and implementation of customized solutions using Azure data services.
About Infosys Consulting
Infosys Consulting is the global management and IT consultancy unit of the Infosys Group, a worldwide leader in strategy, process engineering, and technology-enabled transformation programs. We partner with clients to deliver superior business value by advising them on strategy and process optimization as well as IT-enabled transformation.
Key Responsibilities
- Technical Leadership: Provide technical leadership and guidance to junior engineers on designing and implementing data pipelines, data streams, and system integration using Azure data services.
- Azure Expertise: Demonstrated expertise in Azure Data Factory, Azure Data Lake, Synapse, and Azure SQL, with experience in data warehousing modeling and business processing mapping of data and analytics solutions.
- Team Collaboration: Strong collaboration and communication skills to work effectively with remote teams and stakeholders.
- Skills and Qualifications
- Experience: 5+ years of experience in data engineering with a focus on Azure data services.
- Education: Bachelor's degree in Computer Science or related field.
- Languages: Proficiency in Python, with knowledge of other programming languages a plus.
- Certifications: Azure certifications (e.g., Azure Developer Associate, Azure Solutions Architect Expert) a plus.
- Benefits
We offer a competitive salary range of SGD $120,000 - $180,000 per annum, depending on experience. We also provide excellent benefits, including comprehensive health insurance, retirement plan, and paid time off.
We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills, and personality.
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